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<a href="device__reduce_8cuh.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;</div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> * Copyright (c) 2011, Duane Merrill.  All rights reserved.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * Copyright (c) 2011-2013, NVIDIA CORPORATION.  All rights reserved.</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Redistribution and use in source and binary forms, with or without</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * modification, are permitted provided that the following conditions are met:</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *     * Redistributions of source code must retain the above copyright</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> *       notice, this list of conditions and the following disclaimer.</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> *     * Redistributions in binary form must reproduce the above copyright</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> *       notice, this list of conditions and the following disclaimer in the</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *       documentation and/or other materials provided with the distribution.</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> *     * Neither the name of the NVIDIA CORPORATION nor the</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> *       names of its contributors may be used to endorse or promote products</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *       derived from this software without specific prior written permission.</span></div>
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<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND</span></div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment"> * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="comment"> * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS</span></div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="comment"> * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="comment"> ******************************************************************************/</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &lt;stdio.h&gt;</span></div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &lt;iterator&gt;</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#include &quot;block/block_reduce_tiles.cuh&quot;</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">#include &quot;../thread/thread_operators.cuh&quot;</span></div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor">#include &quot;../grid/grid_even_share.cuh&quot;</span></div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">#include &quot;../grid/grid_queue.cuh&quot;</span></div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="preprocessor">#include &quot;../util_debug.cuh&quot;</span></div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="preprocessor">#include &quot;../util_device.cuh&quot;</span></div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="preprocessor">#include &quot;../util_namespace.cuh&quot;</span></div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;CUB_NS_PREFIX</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="keyword">namespace </span>cub {</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="preprocessor">#ifndef DOXYGEN_SHOULD_SKIP_THIS    // Do not document</span></div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="comment"> * Kernel entry points</span></div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="comment"> *****************************************************************************/</span></div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    <span class="keyword">typename</span>                BlockReduceTilesPolicy, </div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="keyword">typename</span>                InputIteratorRA,        </div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keyword">typename</span>                OutputIteratorRA,       </div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    <span class="keyword">typename</span>                SizeT,                  </div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    <span class="keyword">typename</span>                ReductionOp&gt;            </div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;__launch_bounds__ (<span class="keywordtype">int</span>(BlockReduceTilesPolicy::BLOCK_THREADS), 1)</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;__global__ <span class="keywordtype">void</span> ReducePrivatizedKernel(</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    InputIteratorRA         d_in,                   </div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    OutputIteratorRA        d_out,                  </div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    SizeT                   num_items,              </div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    GridEvenShare&lt;SizeT&gt;    even_share,             </div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    GridQueue&lt;SizeT&gt;        queue,                  </div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    ReductionOp             reduction_op)           </div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;{</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="comment">// Data type</span></div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> std::iterator_traits&lt;InputIteratorRA&gt;::value_type T;</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <span class="comment">// Thread block type for reducing input tiles</span></div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <span class="keyword">typedef</span> BlockReduceTiles&lt;BlockReduceTilesPolicy, InputIteratorRA, SizeT, ReductionOp&gt; BlockReduceTilesT;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="comment">// Block-wide aggregate</span></div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    T block_aggregate;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <span class="comment">// Shared memory storage</span></div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    __shared__ <span class="keyword">typename</span> BlockReduceTilesT::TempStorage temp_storage;</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    <span class="comment">// Consume input tiles</span></div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    BlockReduceTilesT(temp_storage, d_in, reduction_op).ConsumeTiles(</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;        num_items,</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        even_share,</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;        queue,</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        block_aggregate,</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;        Int2Type&lt;BlockReduceTilesPolicy::GRID_MAPPING&gt;());</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <span class="comment">// Output result</span></div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keywordflow">if</span> (threadIdx.x == 0)</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    {</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        d_out[blockIdx.x] = block_aggregate;</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    }</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;}</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;<span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    <span class="keyword">typename</span>                BlockReduceTilesPolicy,  </div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    <span class="keyword">typename</span>                InputIteratorRA,        </div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    <span class="keyword">typename</span>                OutputIteratorRA,       </div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <span class="keyword">typename</span>                SizeT,                  </div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <span class="keyword">typename</span>                ReductionOp&gt;            </div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;__launch_bounds__ (<span class="keywordtype">int</span>(BlockReduceTilesPolicy::BLOCK_THREADS), 1)</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;__global__ <span class="keywordtype">void</span> ReduceSingleKernel(</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    InputIteratorRA         d_in,                   </div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    OutputIteratorRA        d_out,                  </div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    SizeT                   num_items,              </div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    ReductionOp             reduction_op)           </div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;{</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    <span class="comment">// Data type</span></div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> std::iterator_traits&lt;InputIteratorRA&gt;::value_type T;</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    <span class="comment">// Thread block type for reducing input tiles</span></div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <span class="keyword">typedef</span> BlockReduceTiles&lt;BlockReduceTilesPolicy, InputIteratorRA, SizeT, ReductionOp&gt; BlockReduceTilesT;</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    <span class="comment">// Block-wide aggregate</span></div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    T block_aggregate;</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    <span class="comment">// Shared memory storage</span></div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    __shared__ <span class="keyword">typename</span> BlockReduceTilesT::TempStorage temp_storage;</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    <span class="comment">// Consume input tiles</span></div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    BlockReduceTilesT(temp_storage, d_in, reduction_op).ConsumeTiles(</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;        SizeT(0),</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;        SizeT(num_items),</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;        block_aggregate);</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    <span class="comment">// Output result</span></div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keywordflow">if</span> (threadIdx.x == 0)</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    {</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        d_out[blockIdx.x] = block_aggregate;</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    }</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;}</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;<span class="preprocessor">#endif // DOXYGEN_SHOULD_SKIP_THIS</span></div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;<span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;<span class="comment"> * DeviceReduce</span></div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;<span class="comment"> *****************************************************************************/</span></div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;</div>
<div class="line"><a name="l00175"></a><span class="lineno"><a class="code" href="structcub_1_1_device_reduce.html">  175</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structcub_1_1_device_reduce.html" title="DeviceReduce provides operations for computing a device-wide, parallel reduction across data items re...">DeviceReduce</a></div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;{</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;<span class="preprocessor">#ifndef DOXYGEN_SHOULD_SKIP_THIS    // Do not document</span></div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    <span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;<span class="comment">     * Constants and typedefs</span></div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;<span class="comment">     ******************************************************************************/</span></div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    <span class="keyword">struct </span>KernelDispachParams</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    {</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;        <span class="keywordtype">int</span>                     block_threads;</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;        <span class="keywordtype">int</span>                     items_per_thread;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;        <span class="keywordtype">int</span>                     vector_load_length;</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;        <a class="code" href="namespacecub.html#add0251c713859b8974806079e498d10a">BlockReduceAlgorithm</a>    block_algorithm;</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;        <a class="code" href="group___io_module.html#ga023420f30fec7d4b187fc98f4fd2a55d" title="Enumeration of PTX cache-modifiers for memory load operations. ">PtxLoadModifier</a>         load_modifier;</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;        GridMappingStrategy     grid_mapping;</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;        <span class="keywordtype">int</span>                     subscription_factor;</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;        <span class="keywordtype">int</span>                     tile_size;</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;        <span class="keyword">template</span> &lt;<span class="keyword">typename</span> BlockPolicy&gt;</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;        __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;        <span class="keywordtype">void</span> Init(<span class="keywordtype">int</span> subscription_factor = 1)</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;        {</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;            block_threads               = BlockPolicy::BLOCK_THREADS;</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;            items_per_thread            = BlockPolicy::ITEMS_PER_THREAD;</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;            vector_load_length          = BlockPolicy::VECTOR_LOAD_LENGTH;</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;            block_algorithm             = BlockPolicy::BLOCK_ALGORITHM;</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;            load_modifier               = BlockPolicy::LOAD_MODIFIER;</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;            grid_mapping                = BlockPolicy::GRID_MAPPING;</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;            this-&gt;subscription_factor   = subscription_factor;</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;            tile_size                   = block_threads * items_per_thread;</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;        }</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;        __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;        <span class="keywordtype">void</span> Print()</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;        {</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;            printf(<span class="stringliteral">&quot;%d threads, %d per thread, %d veclen, %d algo, %d loadmod, %d mapping, %d subscription&quot;</span>,</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;                block_threads,</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;                items_per_thread,</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;                vector_load_length,</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;                block_algorithm,</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;                load_modifier,</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;                grid_mapping,</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;                subscription_factor);</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;        }</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    };</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;<span class="comment">     * Tuning policies</span></div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;<span class="comment">     ******************************************************************************/</span></div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;        <span class="keyword">typename</span>    T,</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;        <span class="keyword">typename</span>    SizeT,</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;        <span class="keywordtype">int</span>         ARCH&gt;</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <span class="keyword">struct </span>TunedPolicies;</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> SizeT&gt;</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <span class="keyword">struct </span>TunedPolicies&lt;T, SizeT, 350&gt;</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    {</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        <span class="comment">// PrivatizedPolicy (1B): GTX Titan: 206.0 GB/s @ 192M 1B items</span></div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;128, 12,  1, BLOCK_REDUCE_RAKING, LOAD_LDG, GRID_MAPPING_DYNAMIC&gt;                PrivatizedPolicy1B;</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;        <span class="comment">// PrivatizedPolicy (4B): GTX Titan: 254.2 GB/s @ 48M 4B items</span></div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;512, 20,  1, BLOCK_REDUCE_RAKING, LOAD_DEFAULT, GRID_MAPPING_EVEN_SHARE&gt;         PrivatizedPolicy4B;</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        <span class="comment">// PrivatizedPolicy</span></div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;        <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structcub_1_1_if.html" title="Type selection (IF ? ThenType : ElseType) ">If</a>&lt;(<span class="keyword">sizeof</span>(T) &lt; 4),</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;            PrivatizedPolicy1B,</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;            PrivatizedPolicy4B&gt;::Type PrivatizedPolicy;</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;        <span class="comment">// SinglePolicy</span></div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;256, 8, 1, BLOCK_REDUCE_WARP_REDUCTIONS, LOAD_DEFAULT, GRID_MAPPING_EVEN_SHARE&gt;  SinglePolicy;</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;        <span class="keyword">enum</span> { SUBSCRIPTION_FACTOR = 7 };</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    };</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> SizeT&gt;</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    <span class="keyword">struct </span>TunedPolicies&lt;T, SizeT, 300&gt;</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    {</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;        <span class="comment">// PrivatizedPolicy: GTX670: 154.0 @ 48M 32-bit T</span></div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;256, 2,  1, BLOCK_REDUCE_WARP_REDUCTIONS,  LOAD_DEFAULT, GRID_MAPPING_EVEN_SHARE&gt;    PrivatizedPolicy;</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;        <span class="comment">// SinglePolicy</span></div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;256, 24, 4, BLOCK_REDUCE_WARP_REDUCTIONS,  LOAD_DEFAULT, GRID_MAPPING_EVEN_SHARE&gt;    SinglePolicy;</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;        <span class="keyword">enum</span> { SUBSCRIPTION_FACTOR = 1 };</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    };</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> SizeT&gt;</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    <span class="keyword">struct </span>TunedPolicies&lt;T, SizeT, 200&gt;</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;    {</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;        <span class="comment">// PrivatizedPolicy (1B): GTX 580: 158.1 GB/s @ 192M 1B items</span></div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;192, 24,  4, BLOCK_REDUCE_RAKING, LOAD_DEFAULT, GRID_MAPPING_EVEN_SHARE&gt;            PrivatizedPolicy1B;</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;        <span class="comment">// PrivatizedPolicy (4B): GTX 580: 178.9 GB/s @ 48M 4B items</span></div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;128, 8,  4, BLOCK_REDUCE_RAKING, LOAD_DEFAULT, GRID_MAPPING_DYNAMIC&gt;                PrivatizedPolicy4B;</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;        <span class="comment">// PrivatizedPolicy</span></div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;        <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structcub_1_1_if.html" title="Type selection (IF ? ThenType : ElseType) ">If</a>&lt;(<span class="keyword">sizeof</span>(T) &lt; 4),</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;            PrivatizedPolicy1B,</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;            PrivatizedPolicy4B&gt;::Type PrivatizedPolicy;</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;        <span class="comment">// SinglePolicy</span></div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;192, 7,  1, BLOCK_REDUCE_RAKING, LOAD_DEFAULT, GRID_MAPPING_EVEN_SHARE&gt;             SinglePolicy;</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;        <span class="keyword">enum</span> { SUBSCRIPTION_FACTOR = 2 };</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;    };</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> SizeT&gt;</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    <span class="keyword">struct </span>TunedPolicies&lt;T, SizeT, 130&gt;</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;    {</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;        <span class="comment">// PrivatizedPolicy</span></div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;128, 8,  2,  BLOCK_REDUCE_RAKING, LOAD_DEFAULT, GRID_MAPPING_EVEN_SHARE&gt;            PrivatizedPolicy;</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;        <span class="comment">// SinglePolicy</span></div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;32,  4,  4,  BLOCK_REDUCE_RAKING, LOAD_DEFAULT, GRID_MAPPING_EVEN_SHARE&gt;            SinglePolicy;</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;        <span class="keyword">enum</span> { SUBSCRIPTION_FACTOR = 1 };</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    };</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;</div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> SizeT&gt;</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;    <span class="keyword">struct </span>TunedPolicies&lt;T, SizeT, 100&gt;</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;    {</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;        <span class="comment">// PrivatizedPolicy</span></div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;128, 8,  2,  BLOCK_REDUCE_RAKING, LOAD_DEFAULT, GRID_MAPPING_EVEN_SHARE&gt;            PrivatizedPolicy;</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;        <span class="comment">// SinglePolicy</span></div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;        <span class="keyword">typedef</span> BlockReduceTilesPolicy&lt;32,  4,  4,  BLOCK_REDUCE_RAKING, LOAD_DEFAULT, GRID_MAPPING_EVEN_SHARE&gt;            SinglePolicy;</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;        <span class="keyword">enum</span> { SUBSCRIPTION_FACTOR = 1 };</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;    };</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;    <span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;<span class="comment">     * Default policy initializer</span></div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;<span class="comment">     ******************************************************************************/</span></div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keyword">typename</span> SizeT&gt;</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;    <span class="keyword">struct </span>PtxDefaultPolicies</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;    {</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;        <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">int</span> PTX_TUNE_ARCH =   (<a class="code" href="group___util_module.html#ga76769ce380739b38e0bd00f57e0dbe4f" title="CUB_PTX_ARCH reflects the PTX version targeted by the active compiler pass (or zero during the host p...">CUB_PTX_ARCH</a> &gt;= 350) ?</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;                                                350 :</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;                                                (<a class="code" href="group___util_module.html#ga76769ce380739b38e0bd00f57e0dbe4f" title="CUB_PTX_ARCH reflects the PTX version targeted by the active compiler pass (or zero during the host p...">CUB_PTX_ARCH</a> &gt;= 300) ?</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;                                                    300 :</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;                                                    (<a class="code" href="group___util_module.html#ga76769ce380739b38e0bd00f57e0dbe4f" title="CUB_PTX_ARCH reflects the PTX version targeted by the active compiler pass (or zero during the host p...">CUB_PTX_ARCH</a> &gt;= 200) ?</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;                                                        200 :</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;                                                        (<a class="code" href="group___util_module.html#ga76769ce380739b38e0bd00f57e0dbe4f" title="CUB_PTX_ARCH reflects the PTX version targeted by the active compiler pass (or zero during the host p...">CUB_PTX_ARCH</a> &gt;= 130) ?</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;                                                            130 :</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;                                                            100;</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;        <span class="comment">// Tuned policy set for the current PTX compiler pass</span></div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;        <span class="keyword">typedef</span> TunedPolicies&lt;T, SizeT, PTX_TUNE_ARCH&gt; PtxTunedPolicies;</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;        <span class="comment">// Subscription factor for the current PTX compiler pass</span></div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;        <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">int</span> SUBSCRIPTION_FACTOR = PtxTunedPolicies::SUBSCRIPTION_FACTOR;</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;        <span class="comment">// PrivatizedPolicy that opaquely derives from the specialization corresponding to the current PTX compiler pass</span></div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;        <span class="keyword">struct </span>PrivatizedPolicy : PtxTunedPolicies::PrivatizedPolicy {};</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;        <span class="comment">// SinglePolicy that opaquely derives from the specialization corresponding to the current PTX compiler pass</span></div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;        <span class="keyword">struct </span>SinglePolicy : PtxTunedPolicies::SinglePolicy {};</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;</div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;        <span class="keyword">static</span> <span class="keywordtype">void</span> InitDispatchParams(</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;            <span class="keywordtype">int</span>                    ptx_version,</div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;            KernelDispachParams    &amp;privatized_dispatch_params,</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;            KernelDispachParams    &amp;single_dispatch_params)</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;        {</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;            <span class="keywordflow">if</span> (ptx_version &gt;= 350)</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;            {</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;                <span class="keyword">typedef</span> TunedPolicies&lt;T, SizeT, 350&gt; TunedPolicies;</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;                privatized_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::PrivatizedPolicy&gt;(TunedPolicies::SUBSCRIPTION_FACTOR);</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;                single_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::SinglePolicy &gt;();</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;            }</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;            <span class="keywordflow">else</span> <span class="keywordflow">if</span> (ptx_version &gt;= 300)</div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;            {</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;                <span class="keyword">typedef</span> TunedPolicies&lt;T, SizeT, 300&gt; TunedPolicies;</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;                privatized_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::PrivatizedPolicy&gt;(TunedPolicies::SUBSCRIPTION_FACTOR);</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;                single_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::SinglePolicy &gt;();</div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;            }</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;            <span class="keywordflow">else</span> <span class="keywordflow">if</span> (ptx_version &gt;= 200)</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;            {</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;                <span class="keyword">typedef</span> TunedPolicies&lt;T, SizeT, 200&gt; TunedPolicies;</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;                privatized_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::PrivatizedPolicy&gt;(TunedPolicies::SUBSCRIPTION_FACTOR);</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;                single_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::SinglePolicy &gt;();</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;            }</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;            <span class="keywordflow">else</span> <span class="keywordflow">if</span> (ptx_version &gt;= 130)</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;            {</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;                <span class="keyword">typedef</span> TunedPolicies&lt;T, SizeT, 130&gt; TunedPolicies;</div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;                privatized_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::PrivatizedPolicy&gt;(TunedPolicies::SUBSCRIPTION_FACTOR);</div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;                single_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::SinglePolicy &gt;();</div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;            }</div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;            <span class="keywordflow">else</span></div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;            {</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;                <span class="keyword">typedef</span> TunedPolicies&lt;T, SizeT, 100&gt; TunedPolicies;</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;                privatized_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::PrivatizedPolicy&gt;(TunedPolicies::SUBSCRIPTION_FACTOR);</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;                single_dispatch_params.Init&lt;<span class="keyword">typename</span> TunedPolicies::SinglePolicy &gt;();</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;            }</div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;        }</div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;    };</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;    <span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;<span class="comment">     * Utility methods</span></div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;<span class="comment">     ******************************************************************************/</span></div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;        <span class="keyword">typename</span>                    ReducePrivatizedKernelPtr,          </div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;        <span class="keyword">typename</span>                    ReduceSingleKernelPtr,              </div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;        <span class="keyword">typename</span>                    ResetDrainKernelPtr,                </div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;        <span class="keyword">typename</span>                    InputIteratorRA,                    </div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;        <span class="keyword">typename</span>                    OutputIteratorRA,                   </div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;        <span class="keyword">typename</span>                    SizeT,                              </div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;        <span class="keyword">typename</span>                    ReductionOp&gt;                        </div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;    __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;    <span class="keyword">static</span> cudaError_t Dispatch(</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;        <span class="keywordtype">void</span>                        *d_temp_storage,                    </div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;        <span class="keywordtype">size_t</span>                      &amp;temp_storage_bytes,                </div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;        ReducePrivatizedKernelPtr   privatized_kernel,                  </div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;        ReduceSingleKernelPtr       single_kernel,                      </div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;        ResetDrainKernelPtr         prepare_drain_kernel,               </div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;        KernelDispachParams         &amp;privatized_dispatch_params,        </div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;        KernelDispachParams         &amp;single_dispatch_params,            </div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;        InputIteratorRA             d_in,                               </div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;        OutputIteratorRA            d_out,                              </div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;        SizeT                       num_items,                          </div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;        ReductionOp                 reduction_op,                       </div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;        cudaStream_t                stream              = 0,            </div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;        <span class="keywordtype">bool</span>                        stream_synchronous  = <span class="keyword">false</span>)        </div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;    {</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;<span class="preprocessor">#ifndef CUB_RUNTIME_ENABLED</span></div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;        <span class="comment">// Kernel launch not supported from this device</span></div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(cudaErrorNotSupported );</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;</div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;        <span class="comment">// Data type of input iterator</span></div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;        <span class="keyword">typedef</span> <span class="keyword">typename</span> std::iterator_traits&lt;InputIteratorRA&gt;::value_type T;</div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;</div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;        cudaError error = cudaSuccess;</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;        <span class="keywordflow">do</span></div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;        {</div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;            <span class="keywordflow">if</span> ((privatized_kernel == NULL) || (num_items &lt;= (single_dispatch_params.tile_size)))</div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;            {</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;                <span class="comment">// Dispatch a single-block reduction kernel</span></div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;</div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;                <span class="comment">// Return if the caller is simply requesting the size of the storage allocation</span></div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;                <span class="keywordflow">if</span> (d_temp_storage == NULL)</div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;                {</div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;                    temp_storage_bytes = 1;</div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;                    <span class="keywordflow">return</span> cudaSuccess;</div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;                }</div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;</div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;                <span class="comment">// Log single_kernel configuration</span></div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;                <span class="keywordflow">if</span> (stream_synchronous) <a class="code" href="group___util_module.html#ga6788287a780dc10c443aa1ab5ae9f0db" title="Log macro for printf statements. ">CubLog</a>(<span class="stringliteral">&quot;Invoking ReduceSingle&lt;&lt;&lt;1, %d, 0, %lld&gt;&gt;&gt;(), %d items per thread\n&quot;</span>,</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;                    single_dispatch_params.block_threads, (<span class="keywordtype">long</span> <span class="keywordtype">long</span>) stream, single_dispatch_params.items_per_thread);</div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;</div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;                <span class="comment">// Invoke single_kernel</span></div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;                single_kernel&lt;&lt;&lt;1, single_dispatch_params.block_threads&gt;&gt;&gt;(</div>
<div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;                    d_in,</div>
<div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;                    d_out,</div>
<div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;                    num_items,</div>
<div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;                    reduction_op);</div>
<div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;</div>
<div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;                <span class="comment">// Sync the stream if specified</span></div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;                <span class="keywordflow">if</span> (stream_synchronous &amp;&amp; (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = SyncStream(stream)))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;</div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;            }</div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;            <span class="keywordflow">else</span></div>
<div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;            {</div>
<div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;                <span class="comment">// Dispatch two kernels: a multi-block kernel to compute</span></div>
<div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;                <span class="comment">// privatized per-block reductions, and then a single-block</span></div>
<div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;                <span class="comment">// to reduce those</span></div>
<div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;</div>
<div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;                <span class="comment">// Get device ordinal</span></div>
<div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;                <span class="keywordtype">int</span> device_ordinal;</div>
<div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;                <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = cudaGetDevice(&amp;device_ordinal))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;</div>
<div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;                <span class="comment">// Get SM count</span></div>
<div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;                <span class="keywordtype">int</span> sm_count;</div>
<div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;                <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = cudaDeviceGetAttribute (&amp;sm_count, cudaDevAttrMultiProcessorCount, device_ordinal))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;</div>
<div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;                <span class="comment">// Get a rough estimate of privatized_kernel SM occupancy based upon the maximum SM occupancy of the targeted PTX architecture</span></div>
<div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;                <span class="keywordtype">int</span> privatized_sm_occupancy = CUB_MIN(</div>
<div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;                    <a class="code" href="structcub_1_1_arch_props.html" title="Structure for statically reporting CUDA device properties, parameterized by SM architecture. ">ArchProps&lt;CUB_PTX_ARCH&gt;::MAX_SM_THREADBLOCKS</a>,</div>
<div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;                    <a class="code" href="structcub_1_1_arch_props.html" title="Structure for statically reporting CUDA device properties, parameterized by SM architecture. ">ArchProps&lt;CUB_PTX_ARCH&gt;::MAX_SM_THREADS</a> / privatized_dispatch_params.block_threads);</div>
<div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;</div>
<div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;<span class="preprocessor">#ifndef __CUDA_ARCH__</span></div>
<div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;<span class="preprocessor"></span>                <span class="comment">// We&#39;re on the host, so come up with a more accurate estimate of privatized_kernel SM occupancy from actual device properties</span></div>
<div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;                <a class="code" href="classcub_1_1_device.html" title="Properties of a given CUDA device and the corresponding PTX bundle. ">Device</a> device_props;</div>
<div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;                <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = device_props.<a class="code" href="classcub_1_1_device.html#a4c1aecec381d2dce80120362feb2d0ca">Init</a>(device_ordinal))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;</div>
<div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;                <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = device_props.<a class="code" href="classcub_1_1_device.html#a618bbf36a5737a9b1533ff65834e88e8">MaxSmOccupancy</a>(</div>
<div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;                    privatized_sm_occupancy,</div>
<div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;                    privatized_kernel,</div>
<div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;                    privatized_dispatch_params.block_threads))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;                <span class="comment">// Get device occupancy for privatized_kernel</span></div>
<div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;                <span class="keywordtype">int</span> privatized_occupancy = privatized_sm_occupancy * sm_count;</div>
<div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;</div>
<div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;                <span class="comment">// Even-share work distribution</span></div>
<div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;                GridEvenShare&lt;SizeT&gt; even_share;</div>
<div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;</div>
<div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;                <span class="comment">// Get grid size for privatized_kernel</span></div>
<div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;                <span class="keywordtype">int</span> privatized_grid_size;</div>
<div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;                <span class="keywordflow">switch</span> (privatized_dispatch_params.grid_mapping)</div>
<div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;                {</div>
<div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;                <span class="keywordflow">case</span> GRID_MAPPING_EVEN_SHARE:</div>
<div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;</div>
<div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;                    <span class="comment">// Work is distributed evenly</span></div>
<div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;                    even_share.GridInit(</div>
<div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;                        num_items,</div>
<div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;                        privatized_occupancy * privatized_dispatch_params.subscription_factor,</div>
<div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;                        privatized_dispatch_params.tile_size);</div>
<div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;                    privatized_grid_size = even_share.grid_size;</div>
<div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;                    <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;</div>
<div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;                <span class="keywordflow">case</span> GRID_MAPPING_DYNAMIC:</div>
<div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;</div>
<div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;                    <span class="comment">// Work is distributed dynamically</span></div>
<div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;                    <span class="keywordtype">int</span> num_tiles = (num_items + privatized_dispatch_params.tile_size - 1) / privatized_dispatch_params.tile_size;</div>
<div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;                    privatized_grid_size   = (num_tiles &lt; privatized_occupancy) ?</div>
<div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;                        num_tiles :                 <span class="comment">// Not enough to fill the device with threadblocks</span></div>
<div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;                        privatized_occupancy;      <span class="comment">// Fill the device with threadblocks</span></div>
<div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;                    <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;                };</div>
<div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;</div>
<div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;                <span class="comment">// Temporary storage allocation requirements</span></div>
<div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;                <span class="keywordtype">void</span>* allocations[2];</div>
<div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;                <span class="keywordtype">size_t</span> allocation_sizes[2] =</div>
<div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;                {</div>
<div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;                    privatized_grid_size * <span class="keyword">sizeof</span>(T),      <span class="comment">// bytes needed for privatized block reductions</span></div>
<div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;                    GridQueue&lt;int&gt;::AllocationSize()        <span class="comment">// bytes needed for grid queue descriptor</span></div>
<div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;                };</div>
<div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;</div>
<div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;                <span class="comment">// Alias temporaries (or set the necessary size of the storage allocation)</span></div>
<div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;                <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = AliasTemporaries(d_temp_storage, temp_storage_bytes, allocations, allocation_sizes))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;</div>
<div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;                <span class="comment">// Return if the caller is simply requesting the size of the storage allocation</span></div>
<div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;                <span class="keywordflow">if</span> (d_temp_storage == NULL)</div>
<div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;                    <span class="keywordflow">return</span> cudaSuccess;</div>
<div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;</div>
<div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;                <span class="comment">// Privatized per-block reductions</span></div>
<div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;                T *d_block_reductions = (T*) allocations[0];</div>
<div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;</div>
<div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;                <span class="comment">// Grid queue descriptor</span></div>
<div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;                GridQueue&lt;SizeT&gt; queue(allocations[1]);</div>
<div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;</div>
<div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;                <span class="comment">// Prepare the dynamic queue descriptor if necessary</span></div>
<div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;                <span class="keywordflow">if</span> (privatized_dispatch_params.grid_mapping == GRID_MAPPING_DYNAMIC)</div>
<div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;                {</div>
<div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;                    <span class="comment">// Prepare queue using a kernel so we know it gets prepared once per operation</span></div>
<div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;                    <span class="keywordflow">if</span> (stream_synchronous) <a class="code" href="group___util_module.html#ga6788287a780dc10c443aa1ab5ae9f0db" title="Log macro for printf statements. ">CubLog</a>(<span class="stringliteral">&quot;Invoking prepare_drain_kernel&lt;&lt;&lt;1, 1, 0, %lld&gt;&gt;&gt;()\n&quot;</span>, (<span class="keywordtype">long</span> <span class="keywordtype">long</span>) stream);</div>
<div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;</div>
<div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;                    <span class="comment">// Invoke prepare_drain_kernel</span></div>
<div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;                    prepare_drain_kernel&lt;&lt;&lt;1, 1, 0, stream&gt;&gt;&gt;(queue, num_items);</div>
<div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;</div>
<div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;                    <span class="comment">// Sync the stream if specified</span></div>
<div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;                    <span class="keywordflow">if</span> (stream_synchronous &amp;&amp; (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = SyncStream(stream)))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;                }</div>
<div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;</div>
<div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;                <span class="comment">// Log privatized_kernel configuration</span></div>
<div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;                <span class="keywordflow">if</span> (stream_synchronous) <a class="code" href="group___util_module.html#ga6788287a780dc10c443aa1ab5ae9f0db" title="Log macro for printf statements. ">CubLog</a>(<span class="stringliteral">&quot;Invoking privatized_kernel&lt;&lt;&lt;%d, %d, 0, %lld&gt;&gt;&gt;(), %d items per thread, %d SM occupancy\n&quot;</span>,</div>
<div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;                    privatized_grid_size, privatized_dispatch_params.block_threads, (<span class="keywordtype">long</span> <span class="keywordtype">long</span>) stream, privatized_dispatch_params.items_per_thread, privatized_sm_occupancy);</div>
<div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;</div>
<div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;                <span class="comment">// Invoke privatized_kernel</span></div>
<div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;                privatized_kernel&lt;&lt;&lt;privatized_grid_size, privatized_dispatch_params.block_threads, 0, stream&gt;&gt;&gt;(</div>
<div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;                    d_in,</div>
<div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;                    d_block_reductions,</div>
<div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;                    num_items,</div>
<div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;                    even_share,</div>
<div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;                    queue,</div>
<div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;                    reduction_op);</div>
<div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;</div>
<div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;                <span class="comment">// Sync the stream if specified</span></div>
<div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;                <span class="keywordflow">if</span> (stream_synchronous &amp;&amp; (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = SyncStream(stream)))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;</div>
<div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;                <span class="comment">// Log single_kernel configuration</span></div>
<div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;                <span class="keywordflow">if</span> (stream_synchronous) <a class="code" href="group___util_module.html#ga6788287a780dc10c443aa1ab5ae9f0db" title="Log macro for printf statements. ">CubLog</a>(<span class="stringliteral">&quot;Invoking single_kernel&lt;&lt;&lt;%d, %d, 0, %lld&gt;&gt;&gt;(), %d items per thread\n&quot;</span>,</div>
<div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;                    1, single_dispatch_params.block_threads, (<span class="keywordtype">long</span> <span class="keywordtype">long</span>) stream, single_dispatch_params.items_per_thread);</div>
<div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;</div>
<div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;                <span class="comment">// Invoke single_kernel</span></div>
<div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;                single_kernel&lt;&lt;&lt;1, single_dispatch_params.block_threads, 0, stream&gt;&gt;&gt;(</div>
<div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;                    d_block_reductions,</div>
<div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;                    d_out,</div>
<div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;                    privatized_grid_size,</div>
<div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;                    reduction_op);</div>
<div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;</div>
<div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;                <span class="comment">// Sync the stream if specified</span></div>
<div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;                <span class="keywordflow">if</span> (stream_synchronous &amp;&amp; (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = SyncStream(stream)))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;            }</div>
<div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160;        }</div>
<div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;        <span class="keywordflow">while</span> (0);</div>
<div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;</div>
<div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;        <span class="keywordflow">return</span> error;</div>
<div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160;</div>
<div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;<span class="preprocessor">#endif // CUB_RUNTIME_ENABLED</span></div>
<div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;<span class="preprocessor"></span>    }</div>
<div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;</div>
<div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;</div>
<div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;</div>
<div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;<span class="preprocessor">#endif // DOXYGEN_SHOULD_SKIP_THIS</span></div>
<div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;    <span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;<span class="comment">     * Interface</span></div>
<div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;<span class="comment">     ******************************************************************************/</span></div>
<div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160;</div>
<div class="line"><a name="l00646"></a><span class="lineno">  646</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00647"></a><span class="lineno">  647</span>&#160;        <span class="keyword">typename</span>                    InputIteratorRA,</div>
<div class="line"><a name="l00648"></a><span class="lineno">  648</span>&#160;        <span class="keyword">typename</span>                    OutputIteratorRA,</div>
<div class="line"><a name="l00649"></a><span class="lineno">  649</span>&#160;        <span class="keyword">typename</span>                    ReductionOp&gt;</div>
<div class="line"><a name="l00650"></a><span class="lineno">  650</span>&#160;    __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00651"></a><span class="lineno"><a class="code" href="structcub_1_1_device_reduce.html#ae7d87f3c83dd336e77b2ae900f74e092">  651</a></span>&#160;    <span class="keyword">static</span> cudaError_t <a class="code" href="structcub_1_1_device_reduce.html#ae7d87f3c83dd336e77b2ae900f74e092" title="Computes a device-wide reduction using the specified binary reduction_op functor. ...">Reduce</a>(</div>
<div class="line"><a name="l00652"></a><span class="lineno">  652</span>&#160;        <span class="keywordtype">void</span>                        *d_temp_storage,                    </div>
<div class="line"><a name="l00653"></a><span class="lineno">  653</span>&#160;        <span class="keywordtype">size_t</span>                      &amp;temp_storage_bytes,                </div>
<div class="line"><a name="l00654"></a><span class="lineno">  654</span>&#160;        InputIteratorRA             d_in,                               </div>
<div class="line"><a name="l00655"></a><span class="lineno">  655</span>&#160;        OutputIteratorRA            d_out,                              </div>
<div class="line"><a name="l00656"></a><span class="lineno">  656</span>&#160;        <span class="keywordtype">int</span>                         num_items,                          </div>
<div class="line"><a name="l00657"></a><span class="lineno">  657</span>&#160;        ReductionOp                 reduction_op,                       </div>
<div class="line"><a name="l00658"></a><span class="lineno">  658</span>&#160;        cudaStream_t                stream              = 0,            </div>
<div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160;        <span class="keywordtype">bool</span>                        stream_synchronous  = <span class="keyword">false</span>)        </div>
<div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;    {</div>
<div class="line"><a name="l00661"></a><span class="lineno">  661</span>&#160;        <span class="comment">// Type used for array indexing</span></div>
<div class="line"><a name="l00662"></a><span class="lineno">  662</span>&#160;        <span class="keyword">typedef</span> <span class="keywordtype">int</span> SizeT;</div>
<div class="line"><a name="l00663"></a><span class="lineno">  663</span>&#160;</div>
<div class="line"><a name="l00664"></a><span class="lineno">  664</span>&#160;        <span class="comment">// Data type of input iterator</span></div>
<div class="line"><a name="l00665"></a><span class="lineno">  665</span>&#160;        <span class="keyword">typedef</span> <span class="keyword">typename</span> std::iterator_traits&lt;InputIteratorRA&gt;::value_type T;</div>
<div class="line"><a name="l00666"></a><span class="lineno">  666</span>&#160;</div>
<div class="line"><a name="l00667"></a><span class="lineno">  667</span>&#160;        <span class="comment">// Tuning polices</span></div>
<div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;        <span class="keyword">typedef</span> PtxDefaultPolicies&lt;T, SizeT&gt;                    PtxDefaultPolicies;     <span class="comment">// Wrapper of default kernel policies</span></div>
<div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160;        <span class="keyword">typedef</span> <span class="keyword">typename</span> PtxDefaultPolicies::PrivatizedPolicy   PrivatizedPolicy;       <span class="comment">// Multi-block kernel policy</span></div>
<div class="line"><a name="l00670"></a><span class="lineno">  670</span>&#160;        <span class="keyword">typedef</span> <span class="keyword">typename</span> PtxDefaultPolicies::SinglePolicy       SinglePolicy;           <span class="comment">// Single-block kernel policy</span></div>
<div class="line"><a name="l00671"></a><span class="lineno">  671</span>&#160;</div>
<div class="line"><a name="l00672"></a><span class="lineno">  672</span>&#160;        cudaError error = cudaSuccess;</div>
<div class="line"><a name="l00673"></a><span class="lineno">  673</span>&#160;        <span class="keywordflow">do</span></div>
<div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;        {</div>
<div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160;            <span class="comment">// Declare dispatch parameters</span></div>
<div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160;            KernelDispachParams privatized_dispatch_params;</div>
<div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;            KernelDispachParams single_dispatch_params;</div>
<div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;</div>
<div class="line"><a name="l00679"></a><span class="lineno">  679</span>&#160;<span class="preprocessor">#ifdef __CUDA_ARCH__</span></div>
<div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;<span class="preprocessor"></span>            <span class="comment">// We&#39;re on the device, so initialize the dispatch parameters with the PtxDefaultPolicies directly</span></div>
<div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160;            privatized_dispatch_params.Init&lt;PrivatizedPolicy&gt;(PtxDefaultPolicies::SUBSCRIPTION_FACTOR);</div>
<div class="line"><a name="l00682"></a><span class="lineno">  682</span>&#160;            single_dispatch_params.Init&lt;SinglePolicy&gt;();</div>
<div class="line"><a name="l00683"></a><span class="lineno">  683</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00684"></a><span class="lineno">  684</span>&#160;<span class="preprocessor"></span>            <span class="comment">// We&#39;re on the host, so lookup and initialize the dispatch parameters with the policies that match the device&#39;s PTX version</span></div>
<div class="line"><a name="l00685"></a><span class="lineno">  685</span>&#160;            <span class="keywordtype">int</span> ptx_version;</div>
<div class="line"><a name="l00686"></a><span class="lineno">  686</span>&#160;            <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = <a class="code" href="group___util_module.html#gac3d86a53650d110862fe8a84fce61c2e" title="Retrieves the PTX version (major * 100 + minor * 10) ">PtxVersion</a>(ptx_version))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00687"></a><span class="lineno">  687</span>&#160;            PtxDefaultPolicies::InitDispatchParams(ptx_version, privatized_dispatch_params, single_dispatch_params);</div>
<div class="line"><a name="l00688"></a><span class="lineno">  688</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00689"></a><span class="lineno">  689</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00690"></a><span class="lineno">  690</span>&#160;            <span class="comment">// Dispatch</span></div>
<div class="line"><a name="l00691"></a><span class="lineno">  691</span>&#160;            <span class="keywordflow">if</span> (<a class="code" href="group___util_module.html#ga84c3a4c178bf6593e0fad2b763606236" title="Debug macro. ">CubDebug</a>(error = Dispatch(</div>
<div class="line"><a name="l00692"></a><span class="lineno">  692</span>&#160;                d_temp_storage,</div>
<div class="line"><a name="l00693"></a><span class="lineno">  693</span>&#160;                temp_storage_bytes,</div>
<div class="line"><a name="l00694"></a><span class="lineno">  694</span>&#160;                ReducePrivatizedKernel&lt;PrivatizedPolicy, InputIteratorRA, T*, SizeT, ReductionOp&gt;,</div>
<div class="line"><a name="l00695"></a><span class="lineno">  695</span>&#160;                ReduceSingleKernel&lt;SinglePolicy, T*, OutputIteratorRA, SizeT, ReductionOp&gt;,</div>
<div class="line"><a name="l00696"></a><span class="lineno">  696</span>&#160;                ResetDrainKernel&lt;SizeT&gt;,</div>
<div class="line"><a name="l00697"></a><span class="lineno">  697</span>&#160;                privatized_dispatch_params,</div>
<div class="line"><a name="l00698"></a><span class="lineno">  698</span>&#160;                single_dispatch_params,</div>
<div class="line"><a name="l00699"></a><span class="lineno">  699</span>&#160;                d_in,</div>
<div class="line"><a name="l00700"></a><span class="lineno">  700</span>&#160;                d_out,</div>
<div class="line"><a name="l00701"></a><span class="lineno">  701</span>&#160;                num_items,</div>
<div class="line"><a name="l00702"></a><span class="lineno">  702</span>&#160;                reduction_op,</div>
<div class="line"><a name="l00703"></a><span class="lineno">  703</span>&#160;                stream,</div>
<div class="line"><a name="l00704"></a><span class="lineno">  704</span>&#160;                stream_synchronous))) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00705"></a><span class="lineno">  705</span>&#160;        }</div>
<div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160;        <span class="keywordflow">while</span> (0);</div>
<div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160;</div>
<div class="line"><a name="l00708"></a><span class="lineno">  708</span>&#160;        <span class="keywordflow">return</span> error;</div>
<div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160;    }</div>
<div class="line"><a name="l00710"></a><span class="lineno">  710</span>&#160;</div>
<div class="line"><a name="l00711"></a><span class="lineno">  711</span>&#160;</div>
<div class="line"><a name="l00752"></a><span class="lineno">  752</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00753"></a><span class="lineno">  753</span>&#160;        <span class="keyword">typename</span>                    InputIteratorRA,</div>
<div class="line"><a name="l00754"></a><span class="lineno">  754</span>&#160;        <span class="keyword">typename</span>                    OutputIteratorRA&gt;</div>
<div class="line"><a name="l00755"></a><span class="lineno">  755</span>&#160;    __host__ __device__ __forceinline__</div>
<div class="line"><a name="l00756"></a><span class="lineno"><a class="code" href="structcub_1_1_device_reduce.html#ae927a1815745ceed75ff677ffd3b0701">  756</a></span>&#160;    <span class="keyword">static</span> cudaError_t <a class="code" href="structcub_1_1_device_reduce.html#ae927a1815745ceed75ff677ffd3b0701" title="Computes a device-wide sum using the addition (&#39;+&#39;) operator. ">Sum</a>(</div>
<div class="line"><a name="l00757"></a><span class="lineno">  757</span>&#160;        <span class="keywordtype">void</span>                        *d_temp_storage,                    </div>
<div class="line"><a name="l00758"></a><span class="lineno">  758</span>&#160;        <span class="keywordtype">size_t</span>                      &amp;temp_storage_bytes,                </div>
<div class="line"><a name="l00759"></a><span class="lineno">  759</span>&#160;        InputIteratorRA             d_in,                               </div>
<div class="line"><a name="l00760"></a><span class="lineno">  760</span>&#160;        OutputIteratorRA            d_out,                              </div>
<div class="line"><a name="l00761"></a><span class="lineno">  761</span>&#160;        <span class="keywordtype">int</span>                         num_items,                          </div>
<div class="line"><a name="l00762"></a><span class="lineno">  762</span>&#160;        cudaStream_t                stream              = 0,            </div>
<div class="line"><a name="l00763"></a><span class="lineno">  763</span>&#160;        <span class="keywordtype">bool</span>                        stream_synchronous  = <span class="keyword">false</span>)        </div>
<div class="line"><a name="l00764"></a><span class="lineno">  764</span>&#160;    {</div>
<div class="line"><a name="l00765"></a><span class="lineno">  765</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="structcub_1_1_device_reduce.html#ae7d87f3c83dd336e77b2ae900f74e092" title="Computes a device-wide reduction using the specified binary reduction_op functor. ...">Reduce</a>(d_temp_storage, temp_storage_bytes, d_in, d_out, num_items, <a class="code" href="structcub_1_1_sum.html" title="Default sum functor. ">cub::Sum</a>(), stream, stream_synchronous);</div>
<div class="line"><a name="l00766"></a><span class="lineno">  766</span>&#160;    }</div>
<div class="line"><a name="l00767"></a><span class="lineno">  767</span>&#160;</div>
<div class="line"><a name="l00768"></a><span class="lineno">  768</span>&#160;</div>
<div class="line"><a name="l00769"></a><span class="lineno">  769</span>&#160;};</div>
<div class="line"><a name="l00770"></a><span class="lineno">  770</span>&#160;</div>
<div class="line"><a name="l00771"></a><span class="lineno">  771</span>&#160;</div>
<div class="line"><a name="l00772"></a><span class="lineno">  772</span>&#160;}               <span class="comment">// CUB namespace</span></div>
<div class="line"><a name="l00773"></a><span class="lineno">  773</span>&#160;CUB_NS_POSTFIX  <span class="comment">// Optional outer namespace(s)</span></div>
<div class="line"><a name="l00774"></a><span class="lineno">  774</span>&#160;</div>
<div class="line"><a name="l00775"></a><span class="lineno">  775</span>&#160;</div>
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